A leading national insurance provider, serving over 12 million policyholders, relied heavily on its call center as the primary touchpoint for customer interactions. Handling inquiries about policy renewals, claim statuses, premium payments, and coverage details, the company employed a call center team of 1,200+ agents across multiple regions. Despite heavy investments, customer dissatisfaction was growing due to long wait times, while operational costs continued to rise.  

The Challenge: High Volume & High Cost

  The insurer’s call center was under constant pressure:

 

• 70% of calls were repetitive, with common queries like “What is my premium due date?” or “What documents are required for a claim?” 
• High agent churn due to repetitive, low-value work. 
• Average wait times of 8–10 minutes during peak hours. 
• Annual operational costs exceeding $35M, largely from staffing and training. 
• No 24/7 availability, leaving customers frustrated outside business hours. 

The leadership sought an intelligent automation solution to reduce load, improve customer satisfaction, and contain costs without compromising service quality.

 

The Solution: AIRA’s Conversational AI + RPA Integration

  AIRA deployed a multilingual, omnichannel AI chatbot with seamless integration into the insurer’s backend systems:

 

• Intelligent Query Handling: Automated FAQs, policy information, claim status checks, and renewal reminders. 
• Process Automation via RPA: Premium payment confirmations, policy updates, and claims initiation handled end-to-end without human intervention. 
• Smart Escalation: For complex cases, the chatbot transferred the conversation to a human agent with full context, reducing handling time by 30%. 
• Omnichannel Presence: Chatbot deployed across website, mobile app, WhatsApp, and IVR voice bots. 
• Continuous Learning: Using NLP and feedback loops, the chatbot improved accuracy and understanding over time. 

The Results: Tangible Business Impact

 

• 45% reduction in total call volume within six months. 
• 60% of routine inquiries are fully automated, freeing agents to focus on high-value cases. 
• $12M annual cost savings through reduced staffing needs. 
• 25% improvement in First Contact Resolution (FCR) due to AI pre-screening and context transfer. 
• 24/7 support availability improved customer satisfaction and loyalty scores. 

Bottom Line: The insurer transformed its call center from a cost-heavy dependency into a lean, AI-augmented service model—delivering faster service and sustainable cost efficiency.